Research Says The Month You’re Born Could Affect Your Long-Term Health

If you thought the only thing your birth month determined was whether you’d have an indoor or outdoor celebration – think again.

A study published in Medicina Clinica suggests that the timing of your arrival into the world can influence your long-term health, after researchers at the University of Alicante analysed the birth month of nearly 30,000 people in relation to 27 chronic diseases.

When it came to women, they found that January born bubs are more likely to suffer from migraines, menopausal issues and heart attacks. Women born in February are likely to be affected by osteoarthritis, thyroid problems and blood clots. Women born in March might see more constipation, rheumatism and arthritis. Those who celebrate a birthday in April might suffer from tumours and bronchitis. May babies are likely to suffer from chronic allergies. Women born in June are likely to suffer from incontinence. If you arrived in July you’re likely to be affected by chronic neck pain and asthma. August babies will often suffer from arthritis and blood clots. September born women are likely to be affected by thyroid problems and malignant tumours. Those born in October are likely to have high cholesterol and anaemia. If you’re born in November you might suffer more from varicose veins and December babies are likely to be affected by bronchitis and asthma.

Overall, researchers say September is the ideal month to be born in, as babies born in this month had the lowest chance of being diagnosed with a chronic disease.

Professor Jose Antonio Quesada, who led the study, said birth month, “May behave as an indicator of periods of early exposure to various factors, such as exposure to ultraviolet rays, vitamin D, temperature, seasonal exposure to viruses and allergies which may affect the development of the uterus and neonate in their first months of life.”

If this seasonal influence is correct, us down here in the Southern Hemisphere are likely to have a different set of data given our seasons are switched.